Sökning: WFRF:(Climaco Pinto Rui) >
Strategy for minimi...
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Pinto, Rui Climaco,1972-Umeå universitet,Kemiska institutionen,Computational Life Science Cluster (CLiC)
(författare)
Strategy for minimizing between-study variation of large-scale phenotypic experiments using multivariate analysis
- Artikel/kapitelEngelska2012
Förlag, utgivningsår, omfång ...
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2012-10-01
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American Chemical Society (ACS),2012
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printrdacarrier
Nummerbeteckningar
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LIBRIS-ID:oai:DiVA.org:umu-60030
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https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-60030URI
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https://doi.org/10.1021/ac301869pDOI
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https://res.slu.se/id/publ/45075URI
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Språk:engelska
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Sammanfattning på:engelska
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Ämneskategori:ref swepub-contenttype
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Ämneskategori:art swepub-publicationtype
Anmärkningar
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We have developed a multistep strategy that integrates data from several large-scale experiments that suffer from systematic between-experiment variation. This strategy removes such variation that would otherwise mask differences of interest. It was applied to the evaluation of wood chemical analysis of 736 hybrid aspen trees: wild-type controls and transgenic trees potentially involved in wood formation. The trees were grown in four different greenhouse experiments imposing significant variation between experiments. Pyrolysis coupled to gas chromatography/mass spectrometry (Py-GC/MS) was used as a high throughput-screening platform for fingerprinting of wood chemotype. Our proposed strategy includes quality control, outlier detection, gene specific classification, and consensus analysis. The orthogonal projections to latent structures discriminant analysis (OPLS-DA) method was used to generate the consensus chemotype profiles for each transgenic line. These were thereafter compiled to generate a global dataset. Multivariate analysis and cluster analysis techniques revealed a drastic reduction in between-experiment variation that enabled a global analysis of all transgenic lines from the four independent experiments. Information from in-depth analysis of specific transgenic lines and independent peak identification validated our proposed strategy.
Ämnesord och genrebeteckningar
Biuppslag (personer, institutioner, konferenser, titlar ...)
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Gerber, LorenzSwedish University of Agricultural Sciences,Sveriges lantbruksuniversitet,Umeå universitet,Umeå Plant Science Centre (UPSC),Department of Forest Genetics and Plant Physiology,Institutionen för skoglig genetik och växtfysiologi(Swepub:slu)50493
(författare)
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Eliasson, MattiasUmeå universitet,Kemiska institutionen,Computational Life Science Cluster (CLiC)
(författare)
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Sundberg, BjörnSwedish University of Agricultural Sciences,Sveriges lantbruksuniversitet,Umeå universitet,Umeå Plant Science Centre (UPSC),Department of Forest Genetics and Plant Physiology,Institutionen för skoglig genetik och växtfysiologi(Swepub:slu)46876
(författare)
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Trygg, JohanUmeå universitet,Kemiska institutionen,Computational Life Science Cluster (CLiC)(Swepub:umu)jotr0001
(författare)
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Umeå universitetKemiska institutionen
(creator_code:org_t)
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Sveriges lantbruksuniversitet
Sammanhörande titlar
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Ingår i:Analytical Chemistry: American Chemical Society (ACS)84:20, s. 8675-86810003-27001520-6882
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